3 papers
astro-ph.HE2026
Weakly supervised machine learning for model-agnostic searches of new phenomena in the -ray sky
Michael Krämer, Silvia Manconi, Kathrin Nippel
The -ray sky, as observed by the Fermi Large Area Telescope, contains a significant number of unassociated sources that may point to new astrophysical populations or more exoti…
astro-ph.HE2025
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
Nikolas Frediani, Michael Krämer, Philipp Mertsch +1
The spectrum of cosmic-ray electrons depends sensitively on the history and spatial distribution of nearby sources. Given our limited observational handle on cosmic-ray sources, an…
hep-ph2024
arkRayNet: Emulation of cosmic-ray antideuteron fluxes from dark matter
Jan Heisig, Michael Korsmeier, Michael Krämer +2
Cosmic-ray antimatter, particularly low-energy antideuterons, serves as a sensitive probe of dark matter annihilating in our Galaxy. We study this smoking-gun signature and explore…